Run: 2026-10-08-01M4DADSMZ6W0JQV058X3NPTEA

Run Details

Duration:
14.9s
Cost:
$0.001239
Provider:
Claude Platform on AWS

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The first deadbolt took two turns. The second stuck, the way it always did in the damp, and Rory had to lean her shoulder into the door before the third slid free. By then the knock had come again, patient and precise, three taps spaced evenly apart, the way someone knocks when they already know who will answer. She yanked the door open. Lucien Moreau stood on the landing with one hand resting on the ivory head of his cane. The yellow bulb above the stairwell caught his hair and turned the platinum almost white. Charcoal suit, not a crease out of place, though he had clearly come a long way through the rain. A fine mist beaded on his shoulders. One eye was amber, one black, and both of them were looking at her the way they had looked at her in the rain-soaked alley off Rue Saint-Ferréol, as if she were a puzzle he had solved once and resented ever since. "Aurora," he said. Nobody called her that anymore. Eva called her Rory. Silas called her kid, when he was feeling sentimental, and Yu-Fei called her whatever was closest to hand when she was late with an order. Lucien had never called her anything else. "You can't just turn up here," she said. "I didn't turn up. I knocked." His voice was low, the French vowels softened by years of English, but there was no mistaking the edge under them. "Three times. Quite politely, I thought." "It's half eleven at night." "Yes. I'm aware of the hour." He glanced past her shoulder into the narrow hall, at the stacks of books bowing the shelves, the scrolls leaning in a battered umbrella stand, the paper drift of research notes that had crept onto the stairs. His mouth tightened. "Eva said you'd be here. She said you were staying with her until the Brick Lane business blew over." Rory's grip tightened on the door. Of course Eva had told him. Eva told everyone everything when she thought it would help, and she had never once understood that the most helpful thing she could have done was keep her mouth shut. "Eva," Rory said flatly, "is in Edinburgh until Sunday." "I know." "So you knew I'd be alone." "I hoped you would be alone," he corrected, very gently, and that was worse. Much worse. Because she could hear what he didn't say, and she could feel the old pull low in her chest, the same treacherous tug that had kept her awake in Marseille and on the train north and in every long night since. She had built a life in London precisely so she would not have to feel it. Ptolemy chose that moment to wind between her ankles, tail high, and then pad past her onto the landing to sniff at Lucien's polished shoe. The cat looked up at him with unmistakable disapproval. "Even the cat has opinions," Lucien murmured. "He's not the one with the opinions. He's just rude." Something flickered across Lucien's face, almost a smile, quickly suppressed. "May I come in, Aurora? Five minutes. I'm not here to make a scene on your doorstep." "You made one at the Golden Empress," she said. "Yu-Fei still hasn't forgiven you for the chairs." "The chairs were a misunderstanding." "The chairs were in the window." He inclined his head, conceding the point without conceding anything else. Rain dripped from the brim of his hat, which he had not removed, a detail that tugged at her in a way she resented. Lucien always kept his hat on when he was bracing for something. He had done it the night he told her he couldn't stay. He had done it the morning he left. She should close the door. She should tell him to go back to whatever dark corner of London he had crawled out of and not come back. She had said exactly that once, in a voice she barely recognised, and she had meant it with her whole heart. "Five minutes," she said, and stepped aside. He came in slowly, the cane tapping once on the worn floorboards, and as he passed her the scent of him reached her: cedar, cold air, and underneath it something warmer she had no business remembering. He stopped in the middle of the cramped sitting room, surrounded by Eva's chaos, and turned to face her. "Do you know," he said quietly, "I have thought about what I would say to you every single day since Marseille." Rory folded her arms. Her heart was a fist against her ribs. "And?" "And I have no idea," Lucien said, "where to start." The clock on the bookshelf ticked. Ptolemy jumped onto the sofa and began, with deliberate indifference, to wash. "Then start with the truth," Rory said. "For once." He looked at her for a long moment, both his eyes steady, and for the first time since she had opened the door, he looked less like a man who had come to win an argument and more like a man who had lost something he had never been allowed to name. "The truth," he said, "is that I never stopped wanting you to be safe. And I was never sure you would survive me wanting that." Her breath caught. She had not expected that. She had prepared for excuses, for the smooth, practised charm he used on clients and rivals, for the careful evasions that had driven her out of his life the first time. She had not prepared for this. "Lucien," she began, but he shook his head. "Not yet," he said. "Let me say the rest before you throw me out. I owe you that much." She should have refused. Instead, she sat down on the arm of Eva's threadbare armchair, and waited.
created_at"2026-10-08T08:35:08.072Z" 10/8/2026, 8:35:08 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2386
moderation_latency(null)
generation_time14893
tokens_prompt788
tokens_completion1525
native_tokens_prompt1159
native_tokens_completion2246
native_tokens_completion_images(null)
native_tokens_reasoning478
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.0012389
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448508-w1rB7pfiHpmGcUcsdALE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448508-kOivop6wFjLDMzXOJuEL"
upstream_id"msg_011CfpTpvERaAuSPdk1UyW6h"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTpvERaAuSPdk1UyW6h"
is_byokfalse
latency710
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0012389
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount2
adverbTags
0"Rory said flatly [flatly]"
1"he said quietly [quietly]"
dialogueSentences28
tagDensity0.536
leniency1
rawRatio0.133
effectiveRatio0.133
74.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount970
totalAiIsmAdverbs5
found
0
adverb"very"
count1
1
adverb"gently"
count1
2
adverb"precisely"
count1
3
adverb"quickly"
count1
4
adverb"slowly"
count1
highlights
0"very"
1"gently"
2"precisely"
3"quickly"
4"slowly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
79.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount970
totalAiIsms4
found
0
word"could feel"
count1
1
word"treacherous"
count1
2
word"flickered"
count1
3
word"charm"
count1
highlights
0"could feel"
1"treacherous"
2"flickered"
3"charm"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences59
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences59
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords970
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount766
uniqueNames11
maxNameDensity0.91
worstName"Lucien"
maxWindowNameDensity2
worstWindowName"Lucien"
discoveredNames
Rory6
Moreau1
Rue1
Saint-Ferréol1
Yu-Fei1
French1
English1
Eva5
Marseille1
London2
Lucien7
persons
0"Rory"
1"Moreau"
2"Saint-Ferréol"
3"Yu-Fei"
4"Eva"
5"Lucien"
places
0"Marseille"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount970
matches(empty)
74.07% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences72
matches
0"understood that the"
1"chose that moment"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean26.94
std24.15
cv0.896
sampleLengths
058
15
2100
33
441
58
633
75
865
942
109
112
126
1373
1434
157
1610
1727
1817
195
206
2167
2248
237
2455
2521
2613
2710
2818
299
3052
3125
3245
338
3419
3517
99.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences59
matches
0"been allowed"
54.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs137
matches
0"were looking"
1"was feeling"
2"was bracing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences72
ratio0
matches(empty)
97.45% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount769
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.04291287386215865
lyAdverbCount10
lyAdverbRatio0.013003901170351105
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean13.47
std11.13
cv0.826
sampleLengths
06
126
226
35
417
515
619
77
842
93
105
114
1225
137
148
1527
166
175
1843
193
2019
216
226
2330
249
252
266
2714
282
2941
3016
3125
329
337
3410
3510
3617
379
388
395
406
4111
4224
4312
4412
458
465
4722
4821
497
74.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.5277777777777778
totalSentences72
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences50
matches
0"Of course Eva had told"
1"Instead, she sat down on"
ratio0.04
28.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences50
matches
0"She yanked the door open."
1"His voice was low, the"
2"He glanced past her shoulder"
3"His mouth tightened."
4"he corrected, very gently, and"
5"She had built a life"
6"He inclined his head, conceding"
7"He had done it the"
8"He had done it the"
9"She should close the door."
10"She should tell him to"
11"She had said exactly that"
12"she said, and stepped aside"
13"He came in slowly, the"
14"He stopped in the middle"
15"he said quietly"
16"Her heart was a fist"
17"He looked at her for"
18"Her breath caught."
19"She had not expected that."
ratio0.48
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences50
matches
0"The first deadbolt took two"
1"The second stuck, the way"
2"She yanked the door open."
3"Lucien Moreau stood on the"
4"The yellow bulb above the"
5"Charcoal suit, not a crease"
6"A fine mist beaded on"
7"Nobody called her that anymore."
8"Eva called her Rory."
9"Silas called her kid, when"
10"Lucien had never called her"
11"His voice was low, the"
12"He glanced past her shoulder"
13"His mouth tightened."
14"Rory's grip tightened on the"
15"Eva told everyone everything when"
16"Rory said flatly"
17"he corrected, very gently, and"
18"She had built a life"
19"Ptolemy chose that moment to"
ratio0.9
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences50
matches
0"Because she could hear what"
ratio0.02
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount3
matches
0"One eye was amber, one black, and both of them were looking at her the way they had looked at her in the rain-soaked alley off Rue Saint-Ferréol, as if she were…"
1"Because she could hear what he didn't say, and she could feel the old pull low in her chest, the same treacherous tug that had kept her awake in Marseille and o…"
2"He inclined his head, conceding the point without conceding anything else."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
78.57% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount2
fancyTags
0"he corrected (correct)"
1"Lucien murmured (murmur)"
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0.167
effectiveRatio0.143
86.3116%